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The study invites seminal investigation on potential of investment returns in professional sports leagues. In line with scope of research, the analysis of this study brings into focus the Pakistan Cricket Board (PCB) and franchises pertinent to Pakistan Super League (PSL) for investment appraisal and returns analysis.

The methodical aspect of research deals with financial ratios and sensitivity analysis capturing the potential of returns on investment for target sample of study.

The investment appraisal substantiates the significance of potential returns on sports projects. The returns of investment reports sluggish seasonal returns during initial phase of PSL; however, return on investment (ROI) optimized with the maturity and further capitalization of Pakistan Supper League in more concentrated competitive environment. Sensitivity analysis proves variability of returns with changes in growth prospect of franchises.

The study provides important working knowledge for existing and potential new investors and sports boards to consider the financial investment feasibility through customized investment models and relative orientations of promotion of sports, new talent hunting and re-fabricating the structure of sports in line with new age.

The efficacy of research is ensured through empirical verification of data obtained from reliable sources, and the novelty of research comes from investment appraisal and analysis of growing sports league familiarized as Pakistan Super League. The research approach and target sample are quite unique in context of sports leagues literature.

The purpose of this paper is to implement a genetic algorithmic geared toward building an optimized investment portfolio exploring data set from stocks of firms listed on the Nigerian exchange market. To provide a research-driven guide toward portfolio business assessment and implementation for optimal risk-return.

The approach was to formulate the portfolio selection problem as a mathematical programming problem to optimize returns of portfolio; calculated by a Sharpe ratio. A genetic algorithm (GA) is then applied to solve the formulated model. The GA lead to an optimized portfolio, suggesting an effective asset allocation to achieve the optimized returns.

The approach enables an investor to take a calculated risk in selecting and investing in an investment portfolio best minimizes the risks and maximizes returns. The investor can make a sound investment decision based on expected returns suggested from the optimal portfolio.

The data used for the GA model building and implementation GA was limited to stock market prices. Thus, portfolio investment that which to combines another capital market instrument was used.

Investment managers can implement this GA method to solve the usual bottleneck in selecting or determining which stock to advise potential investors to invest in, and also advise on which capital sharing ratio to reduce risk and attain optimal portfolio-mix targeted at achieving an optimal return on investment.

The value proposition of this paper is due to its exhaustiveness in considering the very important measures in the selection of an optimal portfolio such as risk, liquidity ratio, returns, diversification and asset allocation.

The paper reports on a study of private investors' assessment of projects. The study includes both financial and non‐financial analysis of projects, with an emphasis on non‐financial analysis. The purpose of this paper is to explore factors that influence the substance (investment quality) of projects, and how that substance should be evaluated.

Results in this paper are based on literature studies as well as interviews. A state‐of‐the‐art analysis has been carried out related to private ownership, venture capital investments, corporate finance and project management. Ten prominent Norwegian decision‐makers are interviewed.

Results are present in two perspectives. The first perspective represents factors that contribute to the substance of a project. The second perspective illustrates how the substance of a project is analysed. Results from this study indicate that the substance of a project is not only dependent on the characteristics of the deliverables, but is also context dependable. The involved decision‐makers evaluate to what extent potential projects are compatible with company strategy, if they have trust in the people who will manage the investment, expected market development and exit options.

Different investors have their individual modes of operation. The results indicate that the formalised analyses that are presented in many textbooks are done, but at a late stage in the project selection process, partly serving as quality assurance. Initially, analyses are done on an aggregated level. In addition, the paper discusses to what extent the findings are applicable in a public sector context.

This paper studies how project selection is done by people investing their own money. Most previous research has focused on project selection from a managerial perspective, not from an owner's point of view.

Social return on investment (SROI) has received increasing attention, both academically and professionally, since it was initially developed by the Roberts Enterprise Development Fund in the USA in the mid-1990s. Based on a systematic review of the literature that highlights the potential and limitations related to the academic and professional development of the SROI model, the purpose of this study is to systematize the academic debate and contribute to the future research agenda of blended value accounting.

Relying on the preferred reporting items for systematic reviews and meta-analyses approach, this study endeavors to provide reliable academic insights into the factors driving the usage of the SROI model and its further development.

A systematic literature review produced a final data set of 284 studies. The results reveal that despite the procedural accuracy characterizing the description of the model, bias-driven methodological implications, availability of resources and sector specificities can influence the type of approach taken by scholars and practitioners.

To dispel the conceptual and practical haze, this study discusses the results found, especially regarding the potential solutions offered to overcome the SROI limitations presented, as well as offers suggestions for future research.

This study aims to fill a gap in the literature and enhance a conceptual debate on the future of accounting when it concerns a blended value proposition.

This study examines the effect of a regulatory-focused prime (i.e. a brochure with a picture and message) on the recommending behavior of investment advisers in the context of an investment decision.

Three experiments were conducted with 468 participants, mostly from the financial services industry. Study 1 examined the direct effect of a regulatory-focused prime on an investment adviser's recommending behavior, whereas Study 2 examined the moderating role of regulatory fit on such behavior. Study 3 validated the findings.

The results provide evidence that a message using visual and textual cues based on a promotion and prevention regulatory focus may trigger a preference in an investment adviser's product recommendation. A promotion (prevention)-focused framed message will trigger the recommendation of an investment plan with a higher but riskier (safe and stable) potential return. However, when the same prime is presented with details of a performance incentive scheme, the effect of the prime is reduced when there is a regulatory nonfit between the prime and the message relating to the performance incentive scheme.

The findings highlight the importance of understanding how regulatory-focused stimuli may subconsciously influence the recommendation of investment advisers as heuristics used in decision-making, thereby influencing their clients' investment decisions.

Past studies have focused on how regulatory-focused visual and message cues influence consumer decision-making. This study provides empirical evidence regarding the influence of regulatory-focused prime on an investment adviser's behavior when providing investment advice.

The purpose of this paper is to examine the applicability of Preference Similarity Theory (PST) and Protection Motivation Theory (PMT) in identifying the target audience and developing effective marketing strategies, particularly in non-Muslim countries, to increase the market growth and reach of sukuk to broader investor groups and provide recommendations for such strategies.

After separately examining the effects of PST and PMT on marketing sukuk, recommendations are presented from a shared perspective of these two theories.

The findings of this study suggest that understanding the values, beliefs and perceptions of potential investors is crucial for effectively marketing sukuk investments, especially in non-Muslim countries. The PST and PMT provide useful frameworks for tailoring sukuk offerings and communicating effectively about the risks and benefits of sukuk investments to attract investors who identify with the values and beliefs embodied in sukuk.

To the best of the author's knowledge, this is the first paper to examine the marketing of sukuk in non-Muslim countries. This study is also the first paper to discuss sukuk in the context of PST and PMT. In addition, this study is expected to guide banks in the marketing of sukuk.